StandardScaler question

I'm having difficulty with sklearn StandardScaler(). This should be in the Section "Applying Machine Learning to the Preprocessed Data"
Here is the code:

• from sklearn.preprocessing import StandardScaler
• absenteeism_scaler = StandardScaler()
• absenteeism_scaler.fit(unscaled_inputs)

the output reads:
StandardScaler()
The output should read:
StandardScaler(copy=True, with_mean=True, with_std=True)
I've tried searching on google and stackoverflow. I couldn't find an answer from either sites.

Please Help